Is routing unhappy clients to private feedback the same as review gating?

No, and the distinction matters. Gating means blocking someone from leaving a public review. We do not do that, and no one should. What we do is ask about the experience first and point the public request at satisfied clients, while unhappy clients get a real channel to be heard and a task assigned internally. Anyone can still post publicly at any time.

Can a law firm ask clients for reviews at all?

Yes, with care. What Florida's rules restrict is deceptive advertising and giving anything of value for a recommendation, so the ask carries no incentive and responses never confirm representation or discuss a matter. Testimonials that imply a result others can expect are the trap, and the program is built to avoid it. Not legal advice, and your Bar counsel should see the templates.

How do reviews affect whether ChatGPT recommends my firm?

Generative engines weigh third-party signals about a firm, and review recency, volume, specificity, and whether the firm responds are all readable. A profile with few and old reviews gives the engine little to work with. This is why we treat reputation as part of AI visibility rather than a separate service.

How many review requests is too many?

One ask and one reminder. After that it stops. The marginal review from a third or fourth nudge is not worth the impression it leaves on a client you just did good work for.

Do you write the reviews?

Never. We automate the ask and draft your responses for a human to approve. Writing or buying reviews is fraud, it violates the FTC rules on endorsements, and it is trivially detectable. Any firm offering it is telling you what they will do to you later.

What happens when we get a bad review?

It alerts immediately to a named person, not a shared inbox, and a response is drafted within the day. The negative review is rarely the real damage. The silence after it is what prospects read as a firm that does not pay attention.

Which platforms actually matter for my firm?

Google first for almost everyone, then the vertical directory your prospects actually use: Avvo for law, Healthgrades for medical, Zillow for real estate. We monitor the rest, but we focus the ask where it moves the most, rather than spreading requests thin across platforms nobody reads.

Can this work if we have very few reviews today?

That is the usual starting point and the biggest available gain. The first ninety days are typically the steepest, because there is a backlog of satisfied clients who were simply never asked.

Do you handle responses in Spanish?

Yes. Requests and drafted responses are both bilingual, and a review left in Spanish gets answered in Spanish. See bilingual intake for how we handle both languages across the system.

Is reputation worth buying before the CRM?

Usually not, because the review request should fire off a real trigger like a closed matter or a completed appointment, and that trigger lives in the CRM. Without it you are back to asking manually, which is the thing that already failed.

Compounds visibility

Review generation · NPS · Multi-platform monitoring

Reviews that compound, and feed AI search

You do not have a review problem. You have a review system problem. Firms that grow their rating are not asking harder, they designed the moment the client is happiest to be the moment the ask happens, and they respond to every review inside a day. There is a second reason this matters now: when someone asks ChatGPT for a firm in your city, the engine reads your reviews before it reads your homepage.

Find the leaks first Talk it through

How it works

How a rating actually moves

Nothing here is a trick. It is timing, routing, and consistency, run automatically so it survives a busy month.

We find the moment the client is happiest

Every firm has one: the matter closes, the treatment plan works, the closing funds, the plan is delivered. That moment is the ask, and it is different in every practice. Asking at invoice time instead is why most review programs quietly fail.

The request fires off a real trigger in the CRM

A stage change or a completed appointment starts the sequence, so it happens on the day it should rather than when someone remembers. Email and SMS, one follow-up, then it stops. Asking twice is effective. Asking five times damages the relationship you just earned.

Sentiment routes before a public review is requested

The client is asked about their experience first. A positive response is routed to the public platform that matters most for your firm. A negative one opens a private feedback channel and creates an internal task instead, so you hear it and can fix it.

Responses go out within a day, drafted for you

Every review gets a reply, and the system drafts it for a human to approve. A firm that answers a hard review calmly and specifically within a day reads as a firm that runs a tight operation. Prospects notice, and so do the engines.

Monitoring covers the platforms that count for you

Google, Yelp, Facebook, and the directories specific to your vertical, including Avvo, Healthgrades, and Zillow where relevant. New reviews alert immediately, and anything negative escalates to a named person rather than a shared inbox.

The result feeds your AI visibility work

Recent, specific, well-answered reviews are one of the signals generative engines weigh when deciding which firms to name. A practice with eleven reviews from two years ago is close to invisible to that read. This is why reputation and [AI visibility](/ai-visibility) are the same project.

What you get

Everything included in this build

Built in your own accounts, under your own logins. You own the system, the data, and the phone numbers. We operate it.

Most engagements bundle this with 2 to 4 of the other sub-services rather than buying it alone.

Automated review request sequences by email and SMS
Trigger timing tied to real CRM stage changes
Sentiment routing before the public ask
Private feedback capture for unhappy clients
AI-drafted review responses for human approval
Monitoring across Google, Yelp, Facebook, and vertical directories
Negative-review alerts with named-owner escalation
NPS tracking over time
Social proof widgets and badges for your site
Review volume and rating trend reporting
Reputation reporting tied to AI visibility work
Bilingual English and Spanish request templates

Speech bubbles rising from a round-table forum and lifted by a citation clip toward an answer card, showing reviews becoming a cited source

By vertical

The same system, scoped to your rules

The mechanism is the same in every firm. What changes is the script, the disclosures, and what the system is allowed to say or store. That scoping happens before the build, not at review time.

Law firms

Reviews without a Bar problem

This is the vertical where review automation most often goes wrong. Requests never offer anything of value in exchange, responses never confirm that someone was a client or discuss a matter, and the firm never solicits a testimonial that implies a result others can expect. Handled properly, it is one of the strongest signals a firm can build.

Scoped against Fla. Bar Rule 4-7.13 on deceptive advertising and 4-7.17 on paying for recommendations. No incentive is ever offered for a review.

Concierge and boutique medical

The modern version of a referral

New patients read reviews the way they used to read a referral from a friend. The ask is built into the visit and the response into the day. Replies are written so they never confirm that a reviewer is a patient or reference any clinical detail, which is the line most practices cross by accident.

Responses are scoped so no protected health information is disclosed, including implicit confirmation of treatment. HIPAA applies to public replies.

Wealth and family offices

Where the usual playbook does not apply

Public client reviews are constrained here, and many principals will not leave one regardless. The work shifts to what is permissible: professional referral relationships, verified directory presence, and third-party recognition. We will tell you plainly if a public review push is the wrong move for your firm.

SEC Marketing Rule 206(4)-1 governs testimonials and endorsements, including disclosure and written-agreement requirements. Any program here is scoped with your compliance officer.

Luxury real estate

A broker-owner's rating is the brokerage's rating

Buyers and sellers read the reviews before they read the listings, and agent-level ratings roll up to the brand whether or not the brokerage manages them. The ask is built into the close, and the response cadence is managed at the brokerage level so one quiet agent does not drag the whole profile.

Requests and responses stay inside fair housing lines. No language about the buyer, the neighborhood, or who a property suits.

Aday Interactive, Inc. also builds this for accounting and CPA firms, consulting and advisory practices, architecture and design studios, marketing agencies, hospitality groups, multi-location and franchise operators, e-commerce brands, and B2B SaaS teams. See all industries.

What this does not do

Review automation cannot manufacture goodwill. If clients are unhappy, a well-timed ask surfaces that faster, which is useful but uncomfortable, and no sequence will fix it. We do not gate negative reviews, we route sentiment before the public ask, which is a different thing and the only version we consider defensible. We never buy, incentivize, or write reviews. And we cannot promise a rating: the ask is systematic, the response is not ours to control.

Works with

The sub-services this one pairs with

CRM & Pipeline Automation

Provides the trigger that fires the ask

Database Reactivation

Reaches past clients worth asking

Revenue Dashboards & Attribution

Tracks rating and volume over time

See all ten sub-services

One path, four stages

Where is your firm on the path?

Build the foundation. Become a firm AI can cite. Capture every lead. Then adopt AI with senior governance. Most firms enter at the stage that hurts, and each stage builds on the one before it.

1 The foundation